Non-stationary and Small-time Scaling Behavior of Internet Traffic

摘要：

Scaling behaviors of traffic influence network modeling, service providing and traffic engineering. So it has been the focus of many researches. In this paper, an extensive wavelet analysis is performed to the TCP flows. The results show that the TCP flows exhibit non-stationary and uncorrelated scaling behaviors at the small-time scales(1-100ms). To identify the non-stationary and small-time scaling causing factors,the flow composition of the traffic is analyzed along two dimensions-flow byte contribution and flow density. And the results show the dense flow is the non-stationary and uncorrelated scaling causing factor in small-time scales.

作者: Qing-jia Lin Di Chen Yun-cai Liu

作者单位: School of Information Science and Engineering Shandong University Jinan, 250100, China School of Electronics and Information Technology Shanghai Jiaotong University Shanghai 200030,China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 1717-1721

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）